Papers with retrieval-augmented techniques
From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models (2024.findings-acl)
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| Challenge: | toxicity mitigation in language models has been focused on single-language settings . however, widespread adoption of LLMs has introduced a range of unknown -harms . |
| Approach: | They employ translated data to evaluate and enhance mitigation techniques in the absence of sufficient annotated datasets across languages. |
| Outcome: | The proposed approach compares translation quality and retrieval-augmented mitigation techniques under static and continual toxicity mitigation scenarios. |